Multistage BiCross Encoder: Team GATE Entry for MLIA Multilingual Semantic Search Task 2

• URL: http://arxiv.org/abs/2101.03013v2
• Date: Fri, 15 Jan 2021 20:38:23 GMT
• Title: Multistage BiCross Encoder: Team GATE Entry for MLIA Multilingual Semantic Search Task 2
• Authors: Iknoor Singh, Carolina Scarton, Kalina Bontcheva
• Abstract summary: We present a search system called Multistage BiCross, developed by team GATE for the MLIA task 2 Multilingual Semantic Search. The results of round 1 show that our models achieve state-of-the-art performance for all ranking metrics for both monolingual and bilingual runs.
• Score: 6.229830820553111
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The Coronavirus (COVID-19) pandemic has led to a rapidly growing `infodemic' online. Thus, the accurate retrieval of reliable relevant data from millions of documents about COVID-19 has become urgently needed for the general public as well as for other stakeholders. The COVID-19 Multilingual Information Access (MLIA) initiative is a joint effort to ameliorate exchange of COVID-19 related information by developing applications and services through research and community participation. In this work, we present a search system called Multistage BiCross Encoder, developed by team GATE for the MLIA task 2 Multilingual Semantic Search. Multistage BiCross-Encoder is a sequential three stage pipeline which uses the Okapi BM25 algorithm and a transformer based bi-encoder and cross-encoder to effectively rank the documents with respect to the query. The results of round 1 show that our models achieve state-of-the-art performance for all ranking metrics for both monolingual and bilingual runs.

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